JP7070072B2 - Rideshare provider, matching device, rideshare provider method and computer program - Google Patents

Description

The present invention relates to a ride share providing device, a matching device, a ride share providing method and a computer program, and relates to a ride share providing device, a matching device, a ride share providing method and a computer program for matching a plurality of users.

In recent years, automobiles have collaborated with industries in other fields (for example, IT (Information Technology) industry) due to the advancement of various technological innovations such as the sophistication of transportation infrastructure, networking, and ICT (Information and Communication Technology). It has come to play a role that can be said to be a social foundation, such as supporting the creation of services and having applications that are not limited to transportation (for example, EV (Electric Vehicle) vehicles as storage batteries).

It is considered that "movement and exchange" are indispensable for the realization of an automobile society as a stronger social foundation. This is because "movement and interaction" enhances individual sensibilities and creativity, and at the same time, it becomes an opportunity for encounters and matching of diverse people, things, and technologies, so that it can play two or three roles even in a declining population. This is because it is thought that the connection will be the starting point for new value creation that meets the needs and social issues (see, for example, Non-Patent Document 1).

Japanese Unexamined Patent Publication No. 2018-055538

Systematic Research Committee on the Future of the 21st Century Automotive Society, "Vision 2050 Final Report for a Leap to a" Creative Automotive Society "", Japan Research Institute, June 2016

However, unless you are very active, exchanges are limited in your daily life, and it is difficult to create new value.

By the way, in recent years, a service called ride sharing has begun to spread (see, for example, Patent Document 1). Ride sharing refers to a service for matching the demand for carpooling of automobiles. For example, in ride sharing, a service is provided for connecting a driver of a car with a user who wants to ride the car as a means of transportation and delivering the user by the car.

The present invention has been made in view of such circumstances, and is a ride-sharing providing device and a ride-sharing device capable of realizing new exchanges between users who use ride-sharing and promoting the use of ride-sharing. The purpose is to provide a delivery method and a computer program.

It is also an object of the present invention to provide a matching device capable of realizing a new exchange between users.

(1) In order to achieve the above object, the ride share providing device according to one embodiment of the present invention is a ride share providing device for providing a delivery service by vehicle to a target user who requests ride sharing. For each user, the matching data acquisition unit that acquires matching data for matching the user with another user, and the target user and the passenger of the vehicle are matched based on the acquired matching data. It is provided with a matching processing unit that executes matching processing to be performed.

(12) The matching device according to another embodiment of the present invention is a matching device for matching a target user with another user, and matching data for matching the user with another user for each user. The matching data is provided with a matching data acquisition unit for acquiring the data and a matching processing unit for executing a matching process for matching the target user with another user based on the acquired matching data. For each user, for each one or more fields to which the user belongs, data in which the field and the metadata associated with the field are associated with each other is included.

(14) The ride share providing method according to another embodiment of the present invention is a ride share providing method for providing a delivery service by vehicle to a target user who requests ride sharing, and is for each user. , A step of acquiring matching data for matching the user with another user, and a step of executing a matching process of matching the target user with the passenger of the vehicle based on the acquired matching data. And, including.

(15) The computer program according to another embodiment of the present invention is a computer program for causing a computer to function as a ride-sharing providing device for providing a delivery service by vehicle to a target user who requests ride-sharing. The computer has a matching data acquisition unit that acquires matching data for matching the user with another user for each user, and the target user and the vehicle based on the acquired matching data. It functions as a matching processing unit that executes matching processing to match passengers.

The present invention can also be realized as a semiconductor integrated circuit that realizes a part or all of the rideshare providing device or the matching device, or can be realized as a system including the rideshare providing device or the matching device.

According to the present invention, it is possible to realize new exchanges between users who use ride sharing and promote the use of ride sharing.

It is a figure which shows the structure of the ride share providing system which concerns on Embodiment 1 of this invention. It is a figure which shows the flow of data in a ride-sharing provision system. It is a block diagram which shows the structure of the ride share providing apparatus. It is a sequence diagram which shows the matching data creation process performed in advance between a ride share providing apparatus and a mobile terminal. It is a figure which shows an example of the classification information of the field and metadata used when creating matching data. It is a figure which shows an example of the classification information of the field and metadata used when creating matching data. It is a figure which shows an example of the matching data created by the matching data creation part. It is a sequence diagram which shows the ride share providing process performed between a ride share providing apparatus and a mobile terminal. It is a flowchart which shows the procedure of the delivery plan creation process (S12 of FIG. 8) by a ride-sharing providing apparatus. It is a figure for demonstrating the policy of a matching process. It is a figure which shows the flow of data in a matching system. It is a block diagram which shows the structure of a matching apparatus. It is a flowchart which shows the procedure of the matching process by a matching apparatus.

[Outline of Embodiment of the present invention]
First, the outline of the embodiment of the present invention will be listed and described.
(1) The ride share providing device according to the embodiment of the present invention is a ride share providing device for providing a delivery service by a vehicle to a target user who requests a ride share, and the user is referred to each user. A matching process that executes a matching process that matches the target user with the passenger of the vehicle based on the matching data acquisition unit that acquires matching data for matching with other users and the acquired matching data. It has a department.

According to this configuration, it is possible to match the target user who uses the ride share with the passenger based on the matching data. Therefore, it is possible to realize new exchanges between users and support value creation. In addition, users who wish to interact with each other can promote the use of ride sharing by using ride sharing. By promoting the use of ride sharing, energy saving can be realized.

(2) Preferably, the ride-sharing providing device described above further includes a processing result notification unit that notifies the target user of the result of the matching processing.

According to this configuration, the target user can know the result of the matching process. For example, it is possible to know in advance what kind of passengers will be on board. This makes it possible to communicate smoothly.

(3) Further, the ride-sharing providing device described above further includes a characteristic information acquisition unit for acquiring the characteristic information of the user for each user, and the matching data acquisition unit is the acquired unit for each user. The matching data may be created based on the characteristic information.

According to this configuration, the target user and the passenger can be matched based on the matching data created based on the characteristic information of the user. As a result, it is possible to appropriately extract users who can expect new value creation and support interaction between the users.

(4) Further, the matching data may include data in which the field and the metadata associated with the field are associated with each user and one or more fields to which the user belongs.

According to this configuration, users can be matched with each other based on the commonality of fields or metadata. As a result, it is possible to appropriately extract users who can expect new value creation and support interaction between the users.

(5) Further, the matching processing unit may match the target user with the passenger who has the same or similar metadata as the target user, although the field is different from that of the target user.

Users in different fields but with the same or similar metadata are not superficially similar, but structurally similar in thinking. For example, a user whose hobby is reading and a user whose hobby is a movie are not similar on the surface, but they both like suspense, and when the metadata is the same, their tastes are structurally similar. They are similar and have an internal relationship. Therefore, by matching and connecting such users, it is possible to appropriately extract users who can expect new value creation and support interaction between the users.

(6) Further, the matching processing unit matches the target user with the passenger who has one or more fields in common with the target user and has the same or similar metadata in the common field. May be good.

According to this configuration, so-called similar people who are superficially similar and structurally similar in thinking can be matched and connected. This makes it possible to realize new exchanges between users and support value creation.

(7) Further, the processing result notification unit may notify the target user of the result of the matching process when the target user is matched with at least one of the passengers.

According to this configuration, even if there are a plurality of passengers other than the target user and the target user and all the passengers are not matched, the target user is matched with at least one passenger. Therefore, it is possible to realize new exchanges between users and support value creation.

(8) Further, the ride-sharing providing device described above further includes a carpooling information acquisition unit that acquires carpooling information indicating whether or not the carpooling is permitted for each user, and the matching processing unit includes the acquired carpooling information as the target. The matching process may be executed when the permission of the user's carpooling is shown.

According to this configuration, matching processing can be executed when the target user allows carpooling.

(9) Further, the matching processing unit indicates that the acquired carpooling information indicates the carpooling permission of the target user, and the target user indicates the carpooling permission of at least one of the passengers of the vehicle. The matching process may be executed.

According to this configuration, the matching process can be executed when both the target user and the passenger are allowed to ride together.

(10) Further, the characteristic information acquisition unit may acquire at least one of the user's geographic characteristic information, demographic characteristic information, and psychographic characteristic information as the characteristic information.

According to this configuration, the target user is referred to another user based on the match or difference such as geographic characteristics such as the user's place of residence, demographic characteristics such as the user's age, and psychographic characteristics such as the user's hobbies. Can be matched.

(11) Further, the characteristic information acquisition unit may acquire the characteristic information of the user by analyzing the response of the user in the form of a questionnaire.

According to this configuration, the characteristic information of the user can be efficiently acquired, and thereby the matching data can be efficiently created.

(12) The matching device according to another embodiment of the present invention is a matching device for matching a target user with another user, and matching data for matching the user with another user for each user. The matching data is provided with a matching data acquisition unit for acquiring the data and a matching processing unit for executing a matching process for matching the target user with another user based on the acquired matching data. For each user, for each one or more fields to which the user belongs, data in which the field and the metadata associated with the field are associated with each other is included.

According to this configuration, the target user and another user can be matched based on the matching data. Therefore, it is possible to realize new exchanges between users and support value creation.

(13) Preferably, the matching processing unit matches a user who has the same or similar metadata as the target user, although the field is different from that of the target user, and the target user.

Users in different fields but with the same or similar metadata are not superficially similar, but structurally similar in thinking. For example, a user whose hobby is reading and a user whose hobby is a movie are not similar on the surface, but they both like suspense, and when the metadata is the same, their tastes are structurally similar. They are similar and have an internal relationship. Therefore, by matching and connecting such users, it is possible to appropriately extract users who can expect new value creation and support interaction between the users.

(14) The ride share providing method according to another embodiment of the present invention is a ride share providing method for providing a delivery service by vehicle to a target user who requests ride sharing, and is for each user. , A step of acquiring matching data for matching the user with another user, and a step of executing a matching process of matching the target user with the passenger of the vehicle based on the acquired matching data. And, including.

This configuration includes steps corresponding to the characteristic processing units of the rideshare providing device described above. Therefore, the same operation and effect as the above-mentioned ride-sharing providing device can be obtained.

(15) The computer program according to another embodiment of the present invention is a computer program for causing a computer to function as a ride-sharing providing device for providing a delivery service by vehicle to a target user who requests ride-sharing. The computer has a matching data acquisition unit that acquires matching data for matching the user with another user for each user, and the target user and the vehicle based on the acquired matching data. It functions as a matching processing unit that executes matching processing to match passengers.

According to this configuration, the computer can function as the rideshare providing device described above. Therefore, the same operation and effect as the above-mentioned ride-sharing providing device can be obtained.

[Details of Embodiments of the present invention]
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In addition, all of the embodiments described below show a preferable specific example of the present invention. The numerical values, shapes, components, arrangement positions and connection forms of the components, steps, the order of steps, etc. shown in the following embodiments are examples, and are not intended to limit the present invention. The present invention is specified by the scope of claims. Therefore, among the components in the following embodiments, the components not described in the independent claims indicating the highest concept of the present invention are not necessarily necessary for achieving the object of the present invention, but more. Described as constituting a preferred embodiment.

[Embodiment 1]
<Overall configuration of ride share provision system>
FIG. 1 is a diagram showing a configuration of a ride share providing system according to the first embodiment of the present invention.

With reference to FIG. 1, the ride-sharing providing system 10 is a system for providing ride-sharing to a user, and includes a ride-sharing providing device 1 and mobile terminals 2 and 3. These devices have a function of connecting to a network such as the Internet by wire or wirelessly, and are connected to each other via the network.

Ride sharing refers to a service for matching the demand for carpooling of automobiles. For example, in ride sharing, a service is provided for connecting a driver of a car with a user who wants to drive a car as a means of transportation.

The ride-sharing provider 1 creates a delivery plan for the user by ride-sharing based on a vehicle allocation request from the user, and notifies the user. Further, the ride share providing device 1 instructs the driver of the automobile that provides the ride share to allocate the vehicle based on the delivery plan.

The ride-sharing provider 1 includes a user who requested vehicle allocation (hereinafter referred to as "target user") and a passenger (driver or passenger) of the vehicle on which the target user rides when creating a delivery plan. Match with (passengers excluding drivers)). That is, the ride-sharing providing device 1 creates a delivery plan so as to deliver the target user by using a vehicle such as a car on which the passenger matched with the target user rides.

The mobile terminal 2 is a terminal device such as a smartphone, a tablet terminal, or a notebook computer used by the target user. There are multiple users who use ride sharing. Therefore, there are also a plurality of mobile terminals 2. However, a plurality of users may share one mobile terminal 2.

The mobile terminal 3 is a terminal device such as a smartphone, a tablet terminal, or a notebook computer used by a driver of an automobile that provides ride sharing. There are multiple drivers who offer ride sharing. Therefore, there are also a plurality of mobile terminals 3. However, a plurality of users may share one mobile terminal 3. The mobile terminal 3 may be an in-vehicle device installed in an automobile.

FIG. 2 is a diagram showing a data flow in the ride share providing system 10.
The mobile terminal 2 registers the characteristics of the target user in the ride share providing device 1 by transmitting the characteristic information of the target user to the ride share providing device 1. Further, the mobile terminal 2 transmits the vehicle allocation request information to the ride share providing device 1. The vehicle allocation request information includes information such as the departure place and the destination of the target user. The mobile terminal 2 receives the delivery plan information from the ride share providing device 1. The delivery plan information includes information such as the vehicle ID of the vehicle to be dispatched (for example, information on the license plate of the vehicle) and the estimated arrival time. The delivery plan information may further include user information (eg, characteristic information) matched to the target user.

The mobile terminal 3 registers the characteristics of the driver in the ride share providing device 1 by transmitting the characteristic information of the driver to the ride share providing device 1. Further, the mobile terminal 3 receives the vehicle allocation instruction information based on the delivery plan from the ride share providing device 1. The vehicle allocation instruction information includes information for identifying the target user, as well as information such as the target user's departure place, estimated time of arrival at the departure place, and destination.

<Configuration of ride-sharing provider 1>
FIG. 3 is a block diagram showing the configuration of the ride share providing device 1.
The ride-sharing provider 1 is, for example, a computer including a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. The ride share providing device 1 includes a communication unit 11, a storage unit 12, a characteristic information acquisition unit 13, a matching data creation unit 14, a delivery plan creation unit 16, a processing result notification unit 17, and a vehicle allocation instruction unit 18. To prepare for.

The communication unit 11 is configured to include a communication interface for connecting the rideshare providing device 1 to the network, and transmits / receives various data to / from other devices via the network.

The storage unit 12 is composed of a ROM, a RAM, an HDD (Hard Disk Drive), and the like, and stores a computer program executed by the ride share providing device 1 and various data.

Each of the processing units 13 to 18 described below is a functional processing unit realized by executing the computer program stored in the storage unit 12 on the CPU.

The characteristic information acquisition unit 13 is a processing unit that acquires characteristic information for each user from the mobile terminal 2 or the mobile terminal 3 via the communication unit 11. The characteristic information acquisition unit 13 stores the acquired characteristic information in the storage unit 12. Details of the characteristic information will be described later.

The matching data creation unit 14 functions as a matching data acquisition unit. The matching data creation unit 14 creates matching data for each user to match the user with another user based on the characteristic information for each user stored in the storage unit 12. As a result, the matching data creation unit 14 acquires the matching data. The details of the matching data will be described later.

The delivery plan creation unit 16 functions as a matching processing unit and a carpool information acquisition unit. The delivery plan creation unit 16 creates a delivery plan for the target user based on the vehicle allocation request information received from the mobile terminal 2 by the communication unit 11. At that time, the delivery plan creation unit 16 matches the target user with the passenger of the vehicle on which the target user rides, and delivers the target user by the vehicle on which the passenger matched with the target user rides. Make a plan. The delivery plan creation unit 16 stores the delivery plan information including the result of the matching process in the storage unit 12.

The processing result notification unit 17 reads the delivery plan information from the storage unit 12 and transmits it to the mobile terminal 2 via the communication unit 11 to notify the target user of the result of the matching process together with the delivery plan. The target user will wait for the vehicle to be dispatched according to the delivery plan.

The vehicle allocation instruction unit 18 creates vehicle allocation instruction information indicating vehicle allocation instructions based on the delivery plan information stored in the storage unit 12, and causes the mobile terminal 3 used by the driver of the vehicle providing ride sharing to the mobile terminal 3. By transmitting via the communication unit 11, the driver is instructed to dispatch the vehicle. The driver who receives the vehicle allocation instruction dispatches the vehicle so as to arrive at the departure place by the estimated arrival time indicated by the delivery instruction, and transports the user to the destination indicated by the vehicle allocation instruction.

<About matching data creation process>
FIG. 4 is a sequence diagram showing a matching data creation process performed in advance between the ride share providing device 1 and the mobile terminal 2 or 3.

The mobile terminal 2 transmits the characteristic information of the target user to the ride share providing device 1 (S1). The characteristic information acquisition unit 13 of the ride share providing device 1 receives the characteristic information of the target user and stores it in the storage unit 12. The characteristic information includes at least one of the user's geographic characteristic information, demographic characteristic information, and psychographic characteristic information.

The geographic characteristic information is information indicating the geographical characteristics of the user, and includes, for example, information such as a country of residence and a region of residence.

The demographic characteristic information is information indicating the demographic characteristics of the user, and includes, for example, information such as age, gender, nationality, occupation, annual income, educational background, and family structure.

Psychographic characteristic information is information indicating a user's psychological characteristics, and includes, for example, information such as hobbies, tastes, lifestyles, values, and personalities.

The mobile terminal 2 may transmit characteristic information to the ride share providing device 1 by, for example, answering a questionnaire presented by the ride share providing device 1. Questionnaires can be used to identify potential characteristics of users. The characteristic information acquisition unit 13 of the ride-sharing providing device acquires the user's characteristic information by analyzing the user's response in the form of a questionnaire.

The matching data creation unit 14 of the ride share providing device 1 creates matching data for each user based on the characteristic information for each user stored in the storage unit 12 (S2). The matching data creation unit 14 stores the created matching data in the storage unit 12.

Next, the matching data creation process (S2) will be described in more detail.
The matching data creation unit 14 creates matching data by classifying the characteristic information into each field and each metadata associated with the field.

5 and 6 are diagrams showing an example of field and metadata classification information used when creating matching data.

FIG. 5 is a diagram showing classification information regarding the field of occupation. Occupational fields are subdivided into manufacturing, financial, construction, service, self-employed, etc. as types of fields. In addition, metadates associated with occupations are subdivided into occupations, job titles, and the like. Furthermore, the metadata of job titles is subdivided into research, clerical, sales, etc. as the type of metadata, and the metadata of job titles is subdivided into president class, department manager class, section manager class, etc. as the type of metadata. Will be converted.

FIG. 6 is a diagram showing classification information regarding the field of hobbies. The fields of hobbies are subdivided into sports, appreciation / theater, musical instruments, reading, eating and drinking, games, and the like. In addition, the metadata associated with the hobby is subdivided into forms, places, and the like. Further, the morphological metadata is subdivided into active type, passive type, etc., and the location metadata is subdivided into home, dedicated facility, and the like.

The classification information regarding the field is not limited to that shown in FIGS. 5 and 6, and for example, classification information regarding other fields such as personality and educational background also exists. It is assumed that these classification information are stored in the storage unit 12 in advance.

That is, the matching data creation unit 14 creates matching data by extracting the field type and the metadata type for each field from the user's characteristic information based on the characteristic information and the classification information related to the field. For example, the matching data creation unit 14 creates matching data by using the evaluation grid method. The method for creating matching data is not limited to the evaluation grid method. For example, other methods such as the repertoire grid method and the laddering method can be used.

FIG. 7 is a diagram showing an example of matching data created by the matching data creating unit 14. The matching data includes information such as user name, occupation, occupation, job title, hobby, form, and place. For example, the occupation of user A is the manufacturing industry, and the occupations and job titles that are metadata associated with the occupation are the research position and the section chief class, respectively. Further, the hobby of the user A is appreciation / viewing, and the form and place of the metadata accompanying the hobby are passive type and dedicated facility, respectively.

Further, the occupation of user B is the financial industry, and the occupations and job titles that are metadata associated with the occupation are the sales position and the section chief class, respectively. Further, the hobby of the user B is sports, and the form of the metadata accompanying the hobby is active, but the location of other metadata is unknown. This is because the characteristic information of the user B does not include the information of the place of the hobby.

Furthermore, the occupation of User C, the occupation type and the position that is the metadata associated with the occupation, are all unknown. This is because the characteristic information of the user C does not include the information about the occupation. Further, the hobby of the user C is appreciation / viewing, and the form and place of the metadata accompanying the hobby are passive type and dedicated facility, respectively.

Further, the occupation of the user D is the manufacturing industry, and the occupations and job titles that are metadata associated with the occupation are the clerical job and the regular employee class, respectively. In addition, the hobby of the user D and the form and location of the metadata associated with the hobby are unknown. This is because the characteristic information of the user D does not include the hobby information.

Although the matching data creation process performed in advance between the ride share providing device 1 and the mobile terminal 2 has been described above, the same process is performed between the ride share providing device 1 and the mobile terminal 3. As a result, matching data is created for both the target user who uses the ride share and the driver who provides the ride share.

<Ride share provision process>
FIG. 8 is a sequence diagram showing a ride share providing process performed between the ride share providing device 1 and the mobile terminal 2 or 3.

The target user who wishes to provide the ride share operates the mobile terminal 2 and transmits the vehicle allocation request information from the mobile terminal 2 to the matching device 4 (S11). The vehicle dispatch request information includes information indicating the request contents such as departure place information, destination information, carpooling information, and information requested for this move. The departure place information is information on the position where the target user wants to dispatch the vehicle, and if not specified, the current place is set as the departure place. The destination information is information on the point where the target user desires delivery. In the carpool information, if "OK" is selected, the target user is allowed to share with other passengers, and if "NG" is selected, the target user is with other passengers. Indicates that the carpool is refused. In addition, the target user can request by selecting from "I want to create a new idea", "I want to get excited about a common topic", "I want to spend time alone", and so on. When the target user selects "I want to get excited about a common topic", the target user can make a request by selecting what kind of field (for example, "work", "hobby") he wants to get excited about.

The ride share providing device 1 that has received the vehicle allocation request information creates a delivery plan to the target user based on the vehicle allocation request information (S12). The delivery plan creation process will be described later.

The ride-sharing provider 1 transmits the created delivery plan information to the mobile terminal 2 used by the target user (S13).

The ride-sharing providing device 1 creates vehicle allocation instruction information based on the delivery plan information and transmits it to the mobile terminal 3 used by the driver of the vehicle (S14).

<About delivery plan creation process>
FIG. 9 is a flowchart showing the procedure of the delivery plan creation process (S12 in FIG. 8) by the ride share providing device 1.

The delivery plan creation unit 16 waits until the communication unit 11 receives the vehicle allocation request information from the mobile terminal 2 (S21).

When the communication unit 11 receives the vehicle allocation request information (YES in S21), the delivery plan creation unit 16 searches for a driver who can allocate the vehicle among the drivers who provide the ride share (S22). For example, the delivery plan creation unit 16 identifies the position of the driver by receiving the position information from the mobile terminal 3 via the communication unit 11. The delivery plan creation unit 16 searches for the driver closest to the departure point indicated by the vehicle allocation request information. The delivery plan creation unit 16 transmits a message inquiring whether or not the vehicle can be dispatched to the mobile terminal 3 used by the searched driver via the communication unit 11.

When the communication unit 11 receives a message from the mobile terminal 3 indicating that the vehicle cannot be dispatched (NO in S23), the delivery plan creation unit 16 further searches for another driver. That is, the delivery plan creation unit 16 searches for a driver next to the departure point of the target user and makes the above inquiry.

When the communication unit 11 receives a message indicating that the vehicle can be dispatched from the mobile terminal 3 (YES in S23), the delivery plan creation unit 16 follows the "request for this move" indicated by the vehicle dispatch request information. , The target user and the passenger of the driver's vehicle that can be dispatched are matched (S24).

Here, the matching process (S24) between the target user and each passenger will be described in detail.

The ride share providing device 1 manages the data of the driver and the passenger for each vehicle that provides the ride share. Therefore, the delivery plan creation unit 16 performs matching processing between the target user and the driver when there is a passenger, and matching processing with each passenger with the target user, and when there is no passenger, the delivery plan creation unit 16 performs matching processing. , Performs matching processing with the driver with the target user.

That is, the delivery plan creation unit 16 reads the matching data of the target user and the matching data of each passenger from the storage unit 12. The delivery plan creation unit 16 compares the read matching data, and matches the selected passenger with the target user based on the comparison result.

FIG. 10 is a diagram for explaining a policy of matching processing. Similarities between users (humans) include superficial similarities at the attribute level and similarities at the relationship or structure level. Of these, the attribute level corresponds to the user's field, and the relationship level or structure level corresponds to the metadata associated with the field. For example, even among users who like paintings, if one likes concrete paintings and the other likes abstract paintings, the hobbies of paintings may be the same, but the values may differ greatly. There is sex. Such users have a superficial similar relationship, and there is a high possibility that the topic will not be raised. Therefore, it is a low-value combination to match with the target user who seeks to meet. On the other hand, it is a highly valuable combination for matching target users who do not seek encounters.

In addition, users who have seemingly different hobbies but have the same or similar metadata and who have the same view at the relationship level or the structural level may be able to share values. For this reason, such users who are in different fields and have the same or similar metadata associated with the fields are structurally similar to each other, are inspired by each other, and create value such as new ideas. It is likely that you can. Therefore, it is a highly valuable combination for matching target users who wish to create new ideas. It is assumed that the metadata information having a similar relationship with each other and the information in the field having a similar relationship with each other are stored in advance in the storage unit 12 of the ride share providing device 1. Based on this information, the delivery plan creation unit 16 determines whether or not the metadata or the fields are similar to each other.

Also, for example, users who both like listening to music and who like jazz are common at both the attribute level and the relationship level or the structure level. Such users have a similar relationship and may be able to get excited about a common topic. For this reason, it is a highly valuable combination for matching target users who want to get excited about topics of common hobbies.

Also, users with dissimilar fields and metadata are irrelevant with no contact. Therefore, it is a low-value combination to match with the target user who seeks to meet. On the other hand, it is a highly valuable combination for matching target users who do not seek encounters.

With reference to FIG. 7, for example, it is assumed that the user A is the target user and the user B is the passenger. In this case, since the occupation of user A is the manufacturing industry and the occupation of user B is the financial industry, the field of occupation is different between user A and user B, but the position that is metadata associated with the occupation is Both are in the section chief class, so they are the same. That is, users A and B have structural similarities in different fields but with the same metadata. Therefore, the delivery plan creation unit 16 matches the user A and the user B when the user A desires to create a new idea based on the vehicle allocation request information.

Further, it is assumed that the user A is the target user and the user C is the passenger. In this case, the hobbies of user A and user C are both appreciation and theater. In addition, the forms and places that are the metadata associated with appreciation and theater are both passive and dedicated facilities, respectively. That is, user A and user C have a similar relationship in which the fields and metadata are the same. Therefore, the delivery plan creation unit 16 matches the user A and the user B when the user A wants to get excited about a topic of a common hobby based on the vehicle allocation request information.

Further, it is assumed that the user A is the target user and the user D is the driver. In this case, the occupations of user A and user D are both manufacturing industries, but the occupations and job titles of user A are research and section chief classes, respectively, whereas the occupations and job titles of user D are, respectively. It is a clerical job and a regular employee class. That is, users A and D have superficial similarities in the same field but different metadata. Therefore, there is a high possibility that the conversation between the user A and the user D will not be very lively. Therefore, the delivery plan creation unit 16 matches the user A and the user D when the user A who refuses to share the carpool wishes to spend time alone based on the vehicle allocation request information. Even if the user A and the user D are different in both the field and the metadata and are irrelevant, there is a high possibility that the conversation will not be lively. Therefore, even in such a case, the delivery plan creation unit 16 matches the user A and the user D.

With reference to FIG. 9 again, the delivery plan creation unit 16 determines whether or not a person who matches the wishes of the target user is on board (S25). That is, as a result of the matching process, it is determined whether or not there is a passenger matched to the target user.

If the matching person is not on board (NO in S25), the delivery planning unit 16 searches again for the driver who can dispatch the vehicle among the drivers who provide the ride share (S22).

If a matching person is on board (YES in S25), the delivery plan creation unit 16 determines whether or not there is a passenger other than the target user (S26).

When there is a passenger other than the target user (YES in S26), the delivery plan creation unit 16 determines whether or not the target user permits carpooling based on the vehicle allocation request information (S27).

When the target user permits carpooling (YES in S27), the delivery plan creation unit 16 asks the mobile terminal 2 used by another passenger through the communication unit 11 whether or not the carpooling is permitted. Is transmitted, and an answer is received from the mobile terminal 2 (S28). If there are multiple passengers, make an inquiry for each passenger.

If any of the passengers refuses to share the carpool (NO in S29), the delivery planning unit 16 searches again for the drivers that can be dispatched among the drivers that provide ride sharing (S22).

If all passengers are allowed to ride together (YES in S29), or if there are no passengers (YES in S26), the delivery plan creation unit 16 creates the delivery plan information and stores it in the storage unit 12. (S30). The delivery plan information includes the estimated time of arrival of the target user at the departure place, the vehicle ID of the vehicle to be dispatched, the information of the matched user, and the like. The estimated time of arrival is calculated, for example, by adding the travel time from the current position to the departure place to the current time based on the current position of the vehicle and the departure place of the target user.

The processing result notification unit 17 transmits the delivery plan information created by the delivery plan creation unit 16 to the mobile terminal 2 of the target user through the communication unit 11 (S31, S13 in FIG. 8).

The vehicle allocation instruction unit 18 creates vehicle allocation instruction information based on the delivery plan information and transmits it to the mobile terminal 3 used by the driver of the vehicle (S32, S14 in FIG. 8).

<Effect of Embodiment 1>
As described above, according to the first embodiment of the present invention, it is possible to match a target user who uses ride sharing with another user based on the matching data. Therefore, it is possible to realize new exchanges between users and support value creation. In addition, users who wish to interact with each other can promote the use of ride sharing by using ride sharing. By promoting the use of ride sharing, energy saving can be realized.

The ride share providing device 1 can notify the target user by including the information of the passenger matched with the target user in the delivery plan information. Therefore, the target user can think about the content of the conversation with the passenger in advance, and thereby can smoothly communicate with the passenger.

Further, the ride-sharing providing device 1 can match users who have a structurally similar relationship with each other. As a result, it is possible to appropriately extract users who can expect new value creation and support interaction between the users.

Further, the ride share providing device 1 can match so-called similar persons who are similar at the attribute level and also at the relational level or the structural level. As a result, it is possible to realize new exchanges between users who can expect excitement on a common topic and support value creation.

Further, when the target user who wishes to meet and at least one of the passengers of the vehicle are matched, the target user can be delivered by the vehicle. That is, even if the target user and all the passengers are not matched, the target user is matched with at least one passenger. Therefore, it is possible to realize new exchanges between users and support value creation.

Further, when both the target user and the passenger desire carpooling, both can be matched.

[Embodiment 2]
In the first embodiment, a ride share providing system for matching users who use ride share with each other has been described. In the second embodiment, a matching system for matching users who want to meet other people will be described.

The configuration of the matching system is the same as the configuration of the ride share providing system 10 shown in FIG. However, a matching device is used instead of the ride share providing device 1. Further, the mobile terminals 2 and 3 are not mobile terminals used by ride-sharing target users and drivers, but mobile terminals used by general users.

FIG. 11 is a diagram showing a data flow in the matching system.
Each of the mobile terminals 2 and 3 registers the user's characteristics in the matching device 4 by transmitting the user's characteristic information to the matching device 4.

Further, each of the mobile terminals 2 and 3 requests matching by transmitting matching request information to the matching device 4.

The matching device 4 performs matching processing in response to the matching request, and transmits the matching processing result information to the mobile terminals 2 and 3.

FIG. 12 is a block diagram showing the configuration of the matching device 4.
The matching device 4 is, for example, a computer including a CPU, a ROM, a RAM, and the like. 4 includes a communication unit 11, a storage unit 12, a characteristic information acquisition unit 13, a matching data creation unit 14, a matching processing unit 15, and a processing result notification unit 17.

The communication unit 11 is configured to include a communication interface for connecting the matching device 4 to the network, and transmits / receives various data to / from another device via the network.

The storage unit 12 is composed of a ROM, RAM, HDD, and the like, and stores a computer program executed by the matching device 4 and various data.

Each of the processing units 13 to 17 described below is a functional processing unit realized by executing the computer program stored in the storage unit 12 on the CPU.

Similar to the first embodiment, the characteristic information acquisition unit 13 acquires characteristic information for each user via the communication unit 11.

The matching data creation unit 14 functions as a matching data acquisition unit, and creates matching data for each user as in the first embodiment.

The matching processing unit 15 performs matching processing for matching users from among the users who have received a matching request, based on the matching data created by the matching data creation unit 14.

The processing result notification unit 17 notifies each matched user of the result of the matching process. That is, the processing result notification unit 17 notifies each matched user of information about the matched partner user. The information to be notified may be, for example, an e-mail address of the other user or a URL (Uniform Resource Locator) that can access the information of the other user.

FIG. 13 is a flowchart showing the procedure of the matching process by the matching device 4.
The matching processing unit 15 waits until the matching request information is received from the mobile terminal 2 or 3 (S41).

When the matching request information is received (YES in S41), the matching processing unit 15 matches the user who made the matching request with any of the other users who made the matching request (S42). For example, the matching processing unit 15 matches users who have a structurally similar relationship with each other in the matching processing policy shown in FIG. It should be noted that users in other relationships may be matched with each other. Further, when the matching request information notifies what kind of encounter the user wants, matching may be performed based on the user's request.

The processing result notification unit 17 notifies the mobile terminal 2 or 3 used by each matched user of the matching processing result by the matching processing unit 15 (S43).

As described above, according to the second embodiment, it is possible to match a user with another user. Therefore, it is possible to realize new exchanges between users and support value creation.

[Additional Notes]
Although the ride-sharing providing system and the matching system according to the embodiment of the present invention have been described above, the present invention is not limited to these embodiments.

For example, some or all of the components constituting each of the above devices may be composed of one system LSI. A system LSI is a super-multifunctional LSI manufactured by integrating a plurality of components on one chip, and specifically, is a computer system including a microprocessor, ROM, RAM, and the like. .. A computer program is stored in the RAM. The system LSI achieves its function by operating the microprocessor according to the computer program.

Further, in the present invention, the computer program may be recorded on a computer-readable non-temporary recording medium such as an HDD, a CD-ROM, or a semiconductor memory.

Further, the present invention may transmit the computer program via a telecommunication line, a wireless or wired communication line, a network typified by the Internet, data broadcasting, or the like.
Further, each of the above devices may be realized by a plurality of computers.

Further, some or all the functions of each of the above devices may be provided by cloud computing. That is, some or all the functions of each device may be realized by the cloud server. For example, in the ride share providing device 1, the functions of the characteristic information acquisition unit 13 and the matching data creation unit 14 are realized by the cloud server, and the ride share providing device 1 transmits a user name to the cloud server and from the cloud server. It may be configured to acquire matching data for the user name.
Further, at least a part of the above embodiments may be arbitrarily combined.

It should be considered that the embodiments disclosed this time are exemplary in all respects and not restrictive. The scope of the present invention is indicated by the scope of claims, not the above-mentioned meaning, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

1 Ride share providing device 2 Mobile terminal 3 Mobile terminal 4 Matching device 10 Ride share providing system 11 Communication unit 12 Storage unit 13 Characteristic information acquisition unit 14 Matching data creation unit 15 Matching processing unit 16 Delivery plan creation unit 17 Processing result notification unit 18 Vehicle dispatch instruction section

Claims (16)

It is a ride share providing device for providing a delivery service by vehicle to a target user who requests a ride share.
For each user, a matching data acquisition unit that acquires matching data for matching the user with other users,
A matching processing unit that executes a matching process for matching the target user with the passenger of the vehicle based on the acquired matching data is provided .
The matching data includes data in which the field and the metadata associated with the field are associated with each user and one or more fields to which the user belongs.
The matching processing unit
Based on the matching data, the first similarity relationship showing the similarity relationship between the fields of the target user and the passenger and the similarity relationship between the metadata of the target user and the passenger are shown. Decide on a two-kind relationship,
Based on the desired items of the target user in the movement by the vehicle, the first category / similarity relationship, and the second category / similarity relationship, the similarity relationship between the fields is set for each desired item in the movement of the user by the vehicle. According to the matching processing policy that predetermines the combination of either the same or similar and different in the above and either the same or similar and different in the similarity relationship between the metadata, the desired items of the target user. The passenger showing the first category and the second category matching the combination corresponding to the above is matched with the target user.
Ride share provider. moreover,
The ride-sharing providing device according to claim 1, further comprising a processing result notification unit for notifying the target user of the result of the matching process. moreover,
Each user is provided with a characteristic information acquisition unit that acquires the characteristic information of the user.
The ride share providing device according to claim 1 or 2, wherein the matching data acquisition unit creates the matching data based on the acquired characteristic information for each user. When the desired matter of the target user is the creation of a new idea, the matching processing unit has the same or similar metadata as the target user, although the field is different from that of the target user, and the target user. The ride share providing device according to claim 1 . When the target user's wishes are raised on a common topic, the matching processing unit has one or more fields in common with the target user, and the metadata in the common field is the same or similar. The ride share providing device according to claim 1 , wherein the passenger is matched with the target user. When the target user's desired matter is to spend alone, the matching processing unit matches the target user with the passenger who has the same field as the target user and different metadata. The ride share providing device according to claim 1. The matching processing unit matches the target user with the passenger who is different in both the field and the metadata from the target user when the desired matter of the target user is to spend alone. The ride share providing device according to claim 1. The ride share providing device according to claim 2, wherein the processing result notification unit notifies the target user of the result of the matching processing when the target user is matched with at least one of the passengers. moreover,
Each user is equipped with a carpooling information acquisition unit that acquires carpooling information indicating whether or not carpooling is permitted.
The ride share provision according to any one of claims 1 to 8 , wherein the matching processing unit executes the matching processing when the acquired carpooling information indicates the permission of the carpooling of the target user. Device. The matching processing unit executes the matching process when the acquired carpooling information indicates the carpooling permission of the target user and the target user indicates the carpooling permission of at least one of the passengers of the vehicle. The ride share providing device according to claim 9 . The ride share providing device according to claim 3, wherein the characteristic information acquisition unit acquires at least one of the user's geographic characteristic information, demographic characteristic information, and psychographic characteristic information as the characteristic information. The ride-sharing providing device according to claim 3 or 11, wherein the characteristic information acquisition unit acquires the characteristic information of the user by analyzing the response of the user in the form of a questionnaire. A matching device for matching the target user with other users.
For each user, a matching data acquisition unit that acquires matching data for matching the user with other users,
A matching processing unit that executes a matching process for matching the target user with another user based on the acquired matching data is provided.
The matching data includes data in which the field and the metadata associated with the field are associated with each user and one or more fields to which the user belongs.
The matching processing unit
Based on the matching data, the first similarity relationship showing the similarity relationship between the target user and the other user in the field and the similarity relationship between the metadata between the target user and the other user are described. Determine the second kind of similarity relationship to be shown,
Based on the desired items in the encounter of the target user, the first similarity relationship, and the second similarity relationship, the same or similar in the similarity relationship between fields for each desired item in the encounter of the user. The combination corresponding to the desired items of the target user according to the matching processing policy that predetermines the combination of either one of the differences and either the same or the same or the difference in the similarity relationship between the metadata. The other user showing the first category and the second class relationship that matches the above is matched with the target user.
Matching device. When the desired matter of the target user is the creation of a new idea, the matching processing unit matches the target user with a user whose field is different from that of the target user but whose metadata is the same or similar. The matching device according to claim 13 . A method for providing a ride share in which a computer provides a delivery service by vehicle to a target user who requests a ride share.
For each user, a step to acquire matching data for matching the user with another user, and
A step of executing a matching process for matching the target user with the passenger of the vehicle based on the acquired matching data is included.
The matching data includes data in which the field and the metadata associated with the field are associated with each user and one or more fields to which the user belongs.
In the step of executing the matching process,
Based on the matching data, the first similarity relationship showing the similarity relationship between the fields of the target user and the passenger and the similarity relationship between the metadata of the target user and the passenger are shown. Decide on a two-kind relationship,
Based on the desired items of the target user in the movement by the vehicle, the first category / similarity relationship, and the second category / similarity relationship, the similarity relationship between the fields is set for each desired item in the movement of the user by the vehicle. According to the matching processing policy that predetermines the combination of either the same or similar and different in the above and either the same or similar and different in the similarity relationship between the metadata, the desired items of the target user. The passenger showing the first category and the second category matching the combination corresponding to the above is matched with the target user.
How to provide ride sharing. A computer program for allowing a computer to function as a ride-sharing provider for providing a delivery service by vehicle to a target user who requests ride-sharing.
The computer
For each user, a matching data acquisition unit that acquires matching data for matching the user with other users,
Based on the acquired matching data, it functions as a matching processing unit that executes a matching process for matching the target user with the passenger of the vehicle .
The matching data includes data in which the field and the metadata associated with the field are associated with each user and one or more fields to which the user belongs.
The matching processing unit
Based on the matching data, the first similarity relationship showing the similarity relationship between the fields of the target user and the passenger and the similarity relationship between the metadata of the target user and the passenger are shown. Decide on a two-kind relationship,
Based on the desired items of the target user in the movement by the vehicle, the first category / similarity relationship, and the second category / similarity relationship, the similarity relationship between the fields is set for each desired item in the movement of the user by the vehicle. According to the matching processing policy that predetermines the combination of either the same or similar and different in the above and either the same or similar and different in the similarity relationship between the metadata, the desired items of the target user. The passenger showing the first category and the second category matching the combination corresponding to the above is matched with the target user.
Computer program.

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